SCALENA DANIEL

Scalena, D., Zotos, L., Fersini, E., Nissim, M., Ustun, A. (In corso di stampa). EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling. Intervento presentato a: Forty-third International Conference on Machine Learning (ICML 2026), Seul, Korea. Detail

Rizzi, G., Magazzù, G., Sormani, A., Pulerà, F., Scalena, D., Fersini, E. (2025). Uncovering Unsafety Traits in Italian Language Models. In Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025) (pp.974-982). CEUR Workshop Proceedings. Detail

Magazzù, G., Sormani, A., Rizzi, G., Pulerà, F., Scalena, D., Cariddi, S., et al. (2025). BeaverTails-IT: Towards a Safety Benchmark for Evaluating Italian Large Language Models. In Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025) (pp.625-635). CEUR Workshop Proceedings. Detail

Scalena, D., Sarti, G., Nissim, M. (2024). Multi-property Steering of Large Language Models with Dynamic Activation Composition. In BlackboxNLP 2024 - 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the Workshop (pp.577-603). Association for Computational Linguistics (ACL) [10.18653/v1/2024.blackboxnlp-1.34]. Detail

Rizzi, G., Astorino, A., Scalena, D., Rosso, P., Fersini, E. (2023). MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement. In 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop (pp.556-564). Association for Computational Linguistics. Detail